Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Sweden
- Germany
- United Kingdom
- Portugal
- Spain
- Netherlands
- Norway
- Belgium
- Ireland
- Italy
- Singapore
- Canada
- Czech
- Switzerland
- Austria
- Morocco
- Australia
- Finland
- United Arab Emirates
- Brazil
- New Zealand
- China
- Denmark
- Estonia
- Fiji
- India
- Japan
- Saudi Arabia
- Slovakia
- Slovenia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Economics
- Science
- Mathematics
- Chemistry
- Materials Science
- Linguistics
- Humanities
- Psychology
- Earth Sciences
- Electrical Engineering
- Arts and Literature
- Law
- Business
- Social Sciences
- Education
- Environment
- Physics
- Design
- Sports and Recreation
- 13 more »
- « less
-
. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
-
opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising
-
higher education pedagogy collaborate with relevant stakeholders in the industry and surrounding society. Swedish and English are used in parallel at the departments. The holder of the position should be
-
, are offered when necessary to meet competitive conditions. The posted UC academic salary https://www.ucop.edu/academic-personnel-programs/compensation/2025-26-academic-salary-scales.html ) set the minimum pay
-
-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
-
parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem-solving and communication skills
-
journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
-
advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
-
are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of, or ability to quickly learn, project management
-
equipment and digital imagery, e.g., methods to capture parallel and bisecting angles. Assist faculty with students’ clinical/laboratory experience; provide input to students on appropriate X-ray procedures